Learning how to reverse engineer government contract pricing can be the difference between a competitive bid and a wasted proposal. In this episode, you'll get a step-by-step method for pulling real spending data on any federal contract and using it to build a winning price, plus how to spot solicitations that are already wired for someone else before you waste time bidding.

Learn how to pull an incumbent contract number and use USASpending.gov to see actual dollars spent, not just the awarded ceiling
Discover how to use AI tools like ChatGPT or Gemini to reverse engineer labor rates and estimated profit margins from public spending data
See a real example of underbidding a 47 million dollar incumbent by dropping from a 30 percent margin to a competitive 12.5 percent
Understand the four red flags that signal a solicitation has been scoped out for a specific vendor, including tight geographic radius requirements and unrealistic response windows
Get a real world breakdown of an Army hotel solicitation and how ultra specific requirements can quietly disqualify every bidder but one

Mindy gives you the federal opportunities, agency signals, recompete intel, and pursuit briefs that tell you not just what contracts exist, but which ones to chase and how to win them.

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EPISODE CHAPTERS:

0:00 - Mindy AI sponsor intro and finding hidden contracts 0:48 - Pulling incumbent contract numbers into USASpending 1:46 - Using AI to reverse engineer labor rates and margins 2:38 - Why matching or slightly beating the last winning bid works 2:57 - Real example of a 47 million dollar incumbent contract 4:19 - Bidding 12.5 percent margin against a 30 percent incumbent 5:07 - Spotting unreasonably specific past performance requirements 6:31 - Warning sign of restrictive office location requirements 7:04 - Army hotel solicitation scoped to one property near a landmark 8:31 - Final checklist for spotting a scoped out solicitation